the bayesian meta-analysis network
Welcome to the website supporting and extending the book by Robert Grant and Gian Luca Di Tanna. This is a place to discuss Bayesian meta-analysis, share ideas, models and code, and support one another.
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code repository
We are currently adding code from the book for all these software options! All code is provided under the CC-0 Creative Commons license. If you use it, please take care to adapt it to your project. You can cite code from #repo tagged posts as: RL Grant & GL Di Tanna. The Bayesian Meta-Analysis Network. bayesian-ma.net. (2025)
Latest BLOG POSTS AND DISCUSSIONS
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The snow leopards example
Code accompanying Chapter 2 of our book “Bayesian Meta-Analysis: a practical introduction”. This is a simple example with an imaginary data set. It allows the reader to explore ideas of…
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Simulating correlated data for time points
Learn how to simulate data from studies with multiple time points and other correlation structures. Make better informed decisions about meta-analysis and related methods by realistic simulation.
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Simulate randomised controlled trials to learn about meta-analysis
Simulate data from randomised controlled trials in order to learn about statistical methods for meta-analysis.
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Using Stata 19 evaluators for Bayesian meta-analysis
This is a summary of a workshop Robert gave at the Italian Stata Users’ Group in Milan in September 2025. Stata version 19, released in 2025, introduced new additional flexibility…
ABOUT THE AUTHORS
Robert is a statistician who has worked throughout his career with evidence synthesis and Bayesian models. He is one of the developers of Stan software, and a chartered fellow of the Royal Statistical Society. He worked on health service quality indicators and clinical guidelines for the Royal College of Physicians and the National Institute for Health and Care Excellence from 1998-2010, then in research and teaching in health and social care statistics at St George’s, University of London and Kingston University from 2010-2017. He provided freelance coaching, training and consultancy to clients from various sectors through BayesCamp from 2017-2025.
Gian Luca is a biostatistician and health economist who has focused his career on applied statistical methodologies for randomized clinical trials and observational research, particularly Bayesian methods and evidence synthesis /meta-analysis.
He has held academic positions at Sapienza University of Rome, the University of Birmingham, the London School of Hygiene and Tropical Medicine, and Queen Mary University of London. He worked at the George Institute for Global Health as Head of the Biostatistics Division and co-Head of the Meta-Research and Evidence Synthesis Unit.
From 2020 to 2022, he chaired the Statistical Methods for Health Economics and Outcomes Research Special Interest Group of the International Society for Pharmacoeconomics and Outcomes Research (ISPOR). He is an editor for Cochrane groups and the journals PharmacoEconomics and BMC Medical Research Methodology. He is a Chartered Statistician of the Royal Statistical Society.
He is currently a Full Professor of Biostatistics and Health Economics and Head of Research and Services at the Department of Business Economics, Health, and Social Care at the University of Applied Sciences and Arts of Southern Switzerland (SUPSI). Additionally, he is a member of the Academic Board of the Swiss School of Public Health.
